Japan Journal of Educational Technology
Online ISSN : 2189-6453
Print ISSN : 1349-8290
ISSN-L : 1349-8290
Paper
Modeling of Learning Process based on Bayesian Network
Nobuhiko KONDOToshiharu HATANAKA
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2017 Volume 41 Issue 3 Pages 271-281

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Abstract

While the field related to educational data analytics such as learning analytics, the importance of institutional research is recognized from the viewpoint of the quality assurance of education and management assistance. In order to do organizational analysis and to support according for individuals, integrating such fields will become increasingly important. In this paper, as a framework to utilize the method of learning analytics for institutional research and student support, we propose a method to model the process of students' learning state about enrollment using Bayesian network. And its applicability is investigated based on the results of some numerical simulation.

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© 2017 Japan Society for Educational Technology
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